Publications associées à Outer product

Small-angle scattering tensor tomography algorithm for robust reconstruction of complex textures

The development of small-angle scattering tensor tomography has enabled the study of anisotropic nanostructures in a volume-resolved manner. It is of great value to have reconstruction methods that can handle many different nanostructural symmetries. For s ...

Int Union Crystallography2023

Regulated CO adsorption by the electrode with OH− repulsive property for enhancing C–C coupling

Michael Graetzel, Jing Gao, Dan Ren, Mingkui Wang, Jingshan Luo, Xiaoyu Zhang, Qixing Zhang, Jialin Wang

Electrochemical CO2 reduction driven by renewable electricity is one of the promising strategies to store sustainable energy as fuels. However, the selectivity of value-added multi-carbon products remains poor for further application of this process. Here, ...

2023

A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis

Annalisa Buffa, Espen Sande, Yannis Dirk Voet

Explicit time integration schemes coupled with Galerkin discretizations of time-dependent partial differential equations require solving a linear system with the mass matrix at each time step. For applications in structural dynamics, the solution of the li ...

2023

ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning

Irem Boybat Kara, Evangelos Eleftheriou, Abu Sebastian

Deep neural networks (DNNs) have surpassed human-level accuracy in a variety of cognitive tasks but at the cost of significant memory/time requirements in DNN training. This limits their deployment in energy and memory limited applications that require rea ...

IEEE2020

Effect of temperature on the water content of C-A-S-H in plain Portland and blended cements

Karen Scrivener, François Henri Avet

This study aims to investigate the change with temperature of the water content of the C-(A)-S-H of plain cement (PC) and Limestone Calcined Clay Cement (LC3). The water content was determined by various methods: thermogravimetric analysis (TGA), H-1-nucle ...

Pergamon-Elsevier Science Ltd2020

Metal-organic framework derived copper catalysts for CO2 to ethylene conversion

Jun Li, Ning Wang, Yun Liu

The electrochemical reduction of CO2 to ethylene provides a carbon-neutral avenue for the conversion of CO2 to value-added fuels and feedstocks, so contributing to the storage of intermittent renewable electricity. The exploration of efficient electrocatal ...

Royal Society of Chemistry2020

Convex computation of the maximum controlled invariant set for polynomial control systems

Colin Neil Jones, Milan Korda

We characterize the maximum controlled invariant (MCI) set for discrete- as well as continuous-time nonlinear dynamical systems as the solution of an infinite-dimensional linear programming problem. For systems with polynomial dynamics and compact semialge ...

Society for Industrial and Applied Mathematics2014

Joint product assortment, inventory and price optimization to attract loyal and non-loyal customers

Ralf Seifert, Argyro Katsifou, Jean-Sébastien Tancrez

In this paper, we analyze the emerging retail practice of carrying a combined product assortment consisting of both regular "standard" products and more fashionable and short-lived "special" products. The purpose of this practice is to increase store traff ...

Pergamon-Elsevier Science Ltd2014

Multi-Way Compressed Sensing for Sparse Low-Rank Tensors

Anastasios Kyrillidis

For linear models, compressed sensing theory and methods enable recovery of sparse signals of interest from few measurements-in the order of the number of nonzero entries as opposed to the length of the signal of interest. Results of similar flavor have mo ...

IEEE Institute of Electrical and Electronics Engineers2012

Reservoir optimization in recurrent neural networks using properties of Kronecker product

Martin Hasler, Ali Ajdari Rad, Mahdi Jalili

Recurrent neural networks based on reservoir computing are increasingly being used in many applications. Optimization of the topological structure of the reservoir and the internal connection weights for a given task is one of the most important problems i ...

2010

Nonlinear Circuit Analysis using Multivariate Volterra Operators

The work introduces a mathematical framework and a corresponding implementable algorithm to automatically perform Volterra analysis of weakly nonlinear circuits. The analysis is based on the general composition rule for multivariate Volterra operators. The ...

2011